Boundary based shape orientation

Pattern Recognition

Volumn 41, Issue 5, 2008, Pages 1768-1781

  Žunić, Joviša ^a   Stojmenović, Miloš ^b  

^a UNIVERSITY OF EXETER   (United Kingdom)

^b UNIVERSITY OF OTTAWA   (Canada)

Author keywords

Computer vision; Image processing; Orientation; Shape

Indexed keywords

BOUNDARY CONDITIONS; COMPUTATION THEORY; DATA PROCESSING; IMAGE REGISTRATION; MANIPULATORS; ROBOTS;

BOUNDARY BASED SHAPE ORIENTATION; BOUNDARY POINTS;

COMPUTER VISION;

EID: 38349109382     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2007.10.007     Document Type: Article

References (22)

1. Horn B.K.P. Robot Vision (1986), MIT Press, Cambridge, MA
2. Jain R., Kasturi R., and Schunck B.G. Machine Vision (1995), McGraw-Hill, New York
3. Klette R., and Rosenfeld A. Digital Geometry (2004), Morgan Kaufmann, San Francisco
4. Cortadellas J., Amat J., and de la Torre F. Robust normalization of silhouettes for recognition application. Pattern Recognition Lett. 25 (2004) 591-601
5. Ha V.H.S., and Moura J.M.F. Afine-permutation invariance of 2-D shape. IEEE Trans. Image Process. 14 11 (2005) 1687-1700
6. Lin J.-C. Universal principal axes: an easy-to-construct tool useful in defining shape orientations for almost every kind of shape. Pattern Recognition 26 (1993) 485-493
7. Lin J.-C. The Family of Universal Axes. Pattern Recognition 29 (1996) 477-485
8. Shen D., and Ip H.H.S. Generalized affine invariant normalization. IEEE Trans. Pattern Anal. Mach. Intell. 19 5 (1997) 431-440
9. Shen D., Ip H.H.S., Cheung K.K.T., and Teoh E.K. Symmetry detection by generalized complex (GC) moments: a close-form solution. IEEE Trans. Pattern Anal. Mach. Intell. 21 5 (1999) 466-476
10. Tsai W.H., and Chou S.L. Detection of generalized principal axes in rotationally symmetric shapes. Pattern Recognition 24 (1991) 95-104
11. Derrode S., and Ghorbel F. Shape analysis and symmetry detection in gray-level objects using the analytical Fourier-Mellin representation. Signal Proc. 84 (2004) 25-39
12. Kim W.-Y., and Kim Y.-S. Robust rotation angle estimator. IEEE Transactions on Pattern Analysis and Machine Intelligence 21 8 (1999) 768-773
13. Marola G. On the Detection of Axes of Symmetry of Symmetric and Almost Symmetric Planar Images. IEEE Trans. Pattern Anal. Mach. Intell. 11 6 (1989) 104-108
14. Shiv Naga Prasad V., and Yegnanarayana B. Finding axes of symmetry from potential fields. IEEE Trans. Image Processing 13 12 (2004) 1556-1559
15. Taza A., and Suen C.Y. Discrimination of planar shapes using shape matrices. IEEE Trans. System, Man and Cybernetics 19 5 (1989) 1281-1289
16. Palmer S.E. Vision Science: Photons to Phenomenology (1999), MIT Press
17. Žunić J., Kopanja L., and Fieldsend J.E. Notes on shape orientation where the standard method does not work. Pattern Recognition 39 5 (2006) 856-865
18. Žunić J., Rosin P.L., and Kopanja L. On the orientability of shapes. IEEE Transactions on Image Processing 15 11 (2006) 3478-3487
19. Freeman H., and Shapira R. Determining the minimum-area encasing rectangle for an arbitrary closed curve. Comm. of the ACM 18 (1975) 409-413
20. Martin R.R., and Stephenson P.C. Putting objects into boxes. Computer Aided Design 20 (1988) 506-514
21. Rosin P.L. Techniques for assessing polygonal approximations of curves. IEEE Trans. Pattern Anal. Mach. Intell. 19 6 (1997) 659-666
22. M. Stojmenović, J. Žunić, New Measure for Shape Elongation, IbPRIA 2007, 3rd Iberian conference on pattern recognition and image analysis, Lecture Notes in Computer Science, vol. 4478, 2007, pp. 572-579.